Comparative Assessment of Filtration- and Precipitation-Based Methods for the Concentration of SARS-CoV-2 and Other Viruses from Wastewater.
Comparative Assessment of Filtration- and Precipitation-Based Methods for the Concentration of SARS-CoV-2 and Other Viruses from Wastewater.
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DOI：
10.1128/spectrum.01102-22
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发表时间：
2022-08-31
影响因子：
3.7
通讯作者：
Jones, Davey L.
中科院分区：
文献类型：
--
作者：
Farkas, Kata;Pellett, Cameron;Alex-Sanders, Natasha;Bridgman, Matthew T. P.;Corbishley, Alexander;Grimsley, Jasmine M. S.;Kasprzyk-Hordern, Barbara;Kevill, Jessica L.;Pantea, Igor;Richardson-O'Neill, India S.;Lambert-Slosarska, Kathryn;Woodhall, Nick;Jones, Davey L.
关键词：
在COVID-19大流行期间，基于水的流行病学（WBE）已被广泛用于跟踪社区中的SARS-CoV-2感染水平。由于WBE的迅速发展，许多方法已经被用于和开发用于废水中的病毒浓缩和检测。然而，关于这些方法的相对性能的信息很少。在这项研究中，我们比较了五种常用的废水浓缩方法在实验室加标实验中用于检测和定量病原性病毒（SARS-CoV-2、诺如病毒、轮状病毒、流感病毒和麻疹病毒）、粪便指示病毒（crA病毒、腺病毒、辣椒轻度斑驳病毒）和工艺对照病毒（鼠诺如病毒和噬菌体Phi 6）的性能。评价的方法包括基于超滤（Amicon离心装置和InnovaPrep装置）或沉淀（使用聚乙二醇[PEG]、牛肉提取物增强PEG和硫酸铵）的方法。对115个未加标废水样品进行了进一步测试。我们发现，无论采用何种浓缩方法，废水的体积和组成以及目标病毒的特性都会极大地影响病毒回收率。所有检测方法均适用于常规病毒浓缩;然而，Amicon超滤法和牛肉提取物增强PEG沉淀法获得了最佳回收率。我们建议使用基于超滤的浓缩用于具有高病毒滴度和铵水平的低样品体积，并使用基于沉淀的浓缩用于高体积样品中的罕见病原体检测。重要性由于许多国家在社区层面利用基于废水的流行病学来监测COVID-19，因此开发和验证可靠的污水病毒检测方法至关重要。病毒检测中最重要的步骤是有效浓缩病毒颗粒和/或其基因组以供后续分析。在这项研究中，我们比较了五种不同的方法来检测和定量不同的病毒在废水中。我们发现，死端超滤和牛肉提取物增强聚乙二醇沉淀是最可靠的方法。我们还发现样品体积和理化性质对病毒回收率有很大影响。因此，在当前和未来针对COVID-19及以后的基于废水的国家监测计划中，应仔细选择废水处理方法和起始量。
Wastewater-based epidemiology (WBE) has been widely used to track levels of SARS-CoV-2 infection in the community during the COVID-19 pandemic. Due to the rapid expansion of WBE, many methods have been used and developed for virus concentration and detection in wastewater. However, very little information is available on the relative performance of these approaches. In this study, we compared the performance of five commonly used wastewater concentration methods for the detection and quantification of pathogenic viruses (SARS-CoV-2, norovirus, rotavirus, influenza, and measles viruses), fecal indicator viruses (crAssphage, adenovirus, pepper mild mottle virus), and process control viruses (murine norovirus and bacteriophage Phi6) in laboratory spiking experiments. The methods evaluated included those based on either ultrafiltration (Amicon centrifugation units and InnovaPrep device) or precipitation (using polyethylene glycol [PEG], beef extract-enhanced PEG, and ammonium sulfate). The two best methods were further tested on 115 unspiked wastewater samples. We found that the volume and composition of the wastewater and the characteristics of the target viruses greatly affected virus recovery, regardless of the method used for concentration. All tested methods are suitable for routine virus concentration; however, the Amicon ultrafiltration method and the beef extract-enhanced PEG precipitation methods yielded the best recoveries. We recommend the use of ultrafiltration-based concentration for low sample volumes with high virus titers and ammonium levels and the use of precipitation-based concentration for rare pathogen detection in high-volume samples. IMPORTANCE As wastewater-based epidemiology is utilized for the surveillance of COVID-19 at the community level in many countries, it is crucial to develop and validate reliable methods for virus detection in sewage. The most important step in viral detection is the efficient concentration of the virus particles and/or their genome for subsequent analysis. In this study, we compared five different methods for the detection and quantification of different viruses in wastewater. We found that dead-end ultrafiltration and beef extract-enhanced polyethylene glycol precipitation were the most reliable approaches. We also discovered that sample volume and physico-chemical properties have a great effect on virus recovery. Hence, wastewater process methods and start volumes should be carefully selected in ongoing and future wastewater-based national surveillance programs for COVID-19 and beyond.
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影响因子：
2.4
作者：
Farkas K;Hillary LS;Thorpe J;Walker DI;Lowther JA;McDonald JE;Malham SK;Jones DL
通讯作者：
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DOI：
10.1016/j.scitotenv.2020.143226
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影响因子：
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作者：
Farkas, Kata;Adriaenssens, Evelien M.;Jones, Davey L.
通讯作者：
Jones, Davey L.
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10.1016/j.scitotenv.2021.146749
发表时间：
2021-08-15
期刊：
The Science of the total environment
影响因子：
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